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Field
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the Building Industry: A Multi-Stakeholder Study”, funded by the UKRI Cross Research Council Responsive Mode (CRCRM) Scheme. Spearheaded by the prestigious research teams at Heriot-Watt University, Aston
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of manufacturing processes Experience modeling AM microstructure evolution, phase transformations, or defect generation Experience with multi-scale modeling across spatial and temporal domains, including residual
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Engineering » Chemical engineering Engineering » Mechanical engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 22 May 2026 - 23:59 (Europe/Ljubljana) Country
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candidate will contribute a broad, multi-proxy palaeoecological skillset to the project. They will carry out field sampling and laboratory analysis of peat and soil sequences from case-study landscapes across
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hepatic stellate cell cultures, and single‑cell multi‑omics to map the pathways that govern steatosis, fibrotic remodelling, and liver resilience. Salary Range: €46,805 - €53,391 Per Annum Appointment
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the research project - “SLAssistants: multi-agentic generative AI-driven smart logistics assistants for B2B cross-border multi-stage multi-modal logistics”. Qualifications For the post of Research Fellow
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. The successful candidate will create a computational framework that bridges atomistic insights and cell-scale behaviour, enabling improved understanding of multi-mechanism sodium storage, phase transitions, and
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advances in patient care, supporting Phase 1 safety studies, Phase 2 efficacy trials, and Phase 3 multi-centre studies. Our experienced team works in collaboration with academic institutions, pharmaceutical
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candidate will contribute a broad, multi-proxy palaeoecological skillset to the project. They will carry out field sampling and laboratory analysis of peat and soil sequences from case-study landscapes across
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undertake high-impact research at the interface of materials science, advanced imaging, and artificial intelligence, with a particular focus on developing automated approaches for analysing multi-modal